Dr John Panneerselvam

Lecturer in Informatics

Lecturer in Informatics

Email: j.panneerselvam@leicester.ac.uk

Phone: 0116 2523883

Dr John Panneerselvam is a Lecturer in Informatics within the School of Informatics, University of Leicester. John joined the University of Leicester in February 2020, and prior to this John worked as a Lecturer in Computing at the University of Derby. John received the PhD degree in the discipline of Computing and an MSc in Advanced Computer Networks from the University of Derby.

Research:

John largely focuses on energy-efficient datacentres through an analytics approach. Datacentres are addressed to be massive energy consumers and environmental polluters. Whilst the energy implications of Cloud datacentres are being addressed from various research perspectives, John focuses on predicting the future trend and behaviours of workloads at the datacentres thereby reducing the active server resources. This involves studying large-scale commercial datacentre trace logs, involving descriptive, predictive and prescriptive analytics with a range of machine learning and AI techniques. John also works in the areas of Interdisciplinary Analytics, Scheduling and Resource Management in Distributed Datacentres, Internet of Things etc.

Selected Publications:

  • J. Panneerselvam, L. Liu and N. Antonopoulos, An Approach to Optimise Resource Provision with Energy-awareness in Datacentres by Combating Task Heterogeneity, IEEE Transactions on Emerging Topics in Computing, 2020, doi: 10.1109/TETC.2018.2794328
  • B. Yuan, J. Panneerselvam, L. Liu, N. Antonopoulos, An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence, IEEE Transactions on Industrial Informatics, 2019.
  • U. Tariq, H. Ali, L. Liu, J. Panneerselvam, J. Hardy, Energy-Efficient Scheduling of Streaming Applications in VFI-NoC-HMPSoC based Edge Devices, Journal of Ambient Intelligence and Humanized Computing, Dec 2020.
  • P. Mrozek, J. Panneerselvam and O. Bagdasar, Efficient Resampling for Fraud Detection During Anonymised Credit Card Transactions with Unbalanced Datasets, 6th International Symposium on Real-time Data Processing for Cloud Computing (RTDPCC 2020), Leicester, December 2020, in press.
  • A. Ayorinde, J. Panneerselvam, L. Liu and D. Miao, Topic clustering using induced squared correlation thresholding with dimension reduction, 10th IEEE International Conference on Sustainable Computing and Communications (SustainCom-2020), Exeter, December 2020, in press.
  • Y. Lu, L. Liu, J. Panneerselvam, B. Yuan, J. Gu and N. Antonopoulos, A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G, IEEE Transactions on Cognitive Communications and Networking, 2019.
  • Y. Lu, L. Liu, J. Panneerselvam, X. Zhai, X. Sun, N. Antonnopoulos, A Latency-based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacentres, IEEE Transactions on Sustainable Computing, 2019. (Impact Factor: 2.45, Q1)
  • U. Tariq, H. Ali, L. Liu, J. Panneerselvam and X. Zhai, Energy-efficient Static Scheduler on VFI based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-Physical Systems, ACM Transactions on Intelligent Systems and Technology, 2019. (Impact Factor: 2.86, Q1)
  • J. Panneerselvam, L. Liu, Y. Lu and N. Antonopoulos, An Investigation into the Impacts of Task-level Behavioural Heterogeneity upon Energy Efficiency in Cloud Datacentres, Future Generation Computer Systems, vol. 83, pp. 239-249, June 2018, doi: https://doi.org/10.1016/j.future.2017.12.064
  • J. Panneerselvam, L. Liu and N. Antonopoulos, InOt-RePCoN: Forecasting User Behavioural trend in Large-Scale Cloud Environments, Future Generation Computer Systems, vol 80, pp. 322-341, March 2018. doi: https://doi.org/10.1016/j.future.2017.05.022
  • D. Miao, L. Liu, R. Xu, J. Panneerselvam, Y. Wu, W. Xu, An Efficient Indexing Model for the Fog Layer of Industrial Internet of Things, IEEE Transactions on Industrial Informatics, vol 14(10), pp. 4487-4496, January 2018. doi: 10.1109/TII.2018.2799598
  • L. Shi, L. Liu, Y. Wu, L. Jiang, M. Kazim, H. Ali and J. Panneerselvam, Human-centric Cyber Social Computing Model for Hot Event Detection and Propagation, IEEE Transactions on Computational Social Systems, 2019.

Full list of Publications can be found here:

Google Citations

DBLP

Talks and Participation:

  • Keynote: AICTE sponsored STTP-III Programme at AMET University, India, December 2020.
  • Keynote: International Forum on IoT and Cloud/Edge Coordination, Anhui University, China, November 2020.
  • Invited Talk: Indian Institute of Information Technology, Design and Manufacturing, India, January 2020
  • Keynote: Races 2019, Sathyabama Institute of Science and Technology, India, November 2019.
  • Invited Talk: Babes-Bolyai University, Cluj-Napoca, Romania, May 2019.
  • Invited Talk: Jiangsu University, Jiangsu Province, China, December 2018, 2019.
  • Invited Talk: Anhui University, Anhui Province, China, December 2018, 2019.
  • Invited Talk: Nanjing Agricultural University, Jiangsu Province, China, December 2018

Professional Membership:

  • Fellow of the Higher Education Academy
  • IEEE
  • British Computer Society

Other Scholarly Activities:

  • Programme Chair for IEEE RTDPCC 2019, 2020
  • Programme Chair for IEEE DMTS 2019
  • Publicity Chair for INSERT-IoT 2019
  • Track Chair for IEEE IoP
  • Session Chair IEEE iVCE
  • Organising Committee for IEEE UCC 2014, 2016, 2018
  • TPC member of a number of IEEE conferences including IEEE UCC, IEEE BDCAT, IEEE RTDPC, IEEE TAIAp-BigData, IEEE SOSE
  • Reviewer for IEEE Transactions on Parallel and Distributed Systems
  • Reviewer for IEEE Transactions on Sustainable Computing
  • Reviewer for IEEE Transactions on Cloud Computing
  • Reviewer for IEEE Access Journal
  • Reviewer for Future Generation Computer Systems Journal
  • Reviewer for a number of IEEE Conference Proceedings including IEEE UCC, IEEE HPCC, IEEE RTCPS, IEEE GCC, IEEE RTDPC, IEEE DSS
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